Data Analyst II

New York City, NY - USA

Monthly Salary: Not Disclosed

Posted on: 3 hours ago

Vacancies: 1 Vacancy

Job Summary

Are you driven by transforming data into actionable insights Do you thrive in fast-paced environments and enjoy collaborating across teams Were on the lookout for a talented Data Analytics Engineer who shares our passion for ensuring our apps and products are not only reliable but also secure and user-centric.

In this fast-paced environment youll collaborate cross-functionally to build data artifacts datasets visualizations and models that answer critical questions. Youll refine systems develop scalable data models and recommend architecture and data management standards to solve complex analytical problems. With strong quantitative statistical and visualization skills along with excellent communication youll drive impact by forging strong partnerships across the organization. If youre eager to turn data into meaningful insights and grow with us we want to hear from you.

Responsibilities:

Partner with teams within Product Operations the broader organization Data Science Data Engineering Product and Engineering teams to solve problems and identify trends and opportunities.
Build/maintain data infrastructure (reporting layer data pipelines reports dashboards alerts) to monitor the performance of our operations and drive business understanding.
Optimize pipelines dashboards frameworks and systems to facilitate easier development of data artifacts.
Assist in owning existing processes running in production optimizing complex code through advanced algorithmic concepts.
Design build and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.
Independently analyze data conduct research and synthesize feedback into plans processes and playbooks.
Proactively propose creative technical and quantitative solutions to problems and drive these through to implementation through the identification of data & tooling requirements enabling self-service / scalable solutions.
Communicate results of analyses to non-technical stakeholders who are the users of systems involving metrics pipelines and dashboards.
Define metrics/KPIs for end-to-end product operations and build repeatable and reproducible analysis.
Utilize AI tools to help automate routine analyses and scale solutions.

Minimum Qualifications:

Bachelors Degree in a technical or research-oriented field such as engineering data science social science or related fields or equivalent practical experience.
Experience in strategy operations consulting statistics data analysis or data science or directly related fields.
Experience with ETL pipeline development.
Proficiency with intermediate to advanced SQL concepts for data extraction.
Experience in managing multiple projects and meeting deadlines in a fast-paced environment.
Experience creating dashboards with Tableau Power BI Alteryx and other data visualization tools.
Experience with statistical analysis including hypothesis testing regression and experimental design.
Experience with communicating and presenting findings to non-technical stakeholders.

Preferred Qualifications:

Advanced technical degree or graduate degree in statistics marketing or related fields.
Experience using AI for data analysis and summarization.
Experience in measuring the performance of AI models.
Experience working across time zones and with diverse audiences including within operations teams and across with key stakeholders and senior leadership.

Benefits:

401(k).
Dental Insurance.
Health insurance.
Vision insurance.
We are an equal-opportunity employer and value diversity equality inclusion and respect for people.
The salary will be determined based on several factors including but not limited to location relevant education qualifications experience technical skills and business needs.

Additional Responsibilities:

Participate in OP monthly team meetings and participate in team-building efforts.
Contribute to OP technical discussions peer reviews etc.
Contribute content and collaborate via the OP-Wiki/Knowledge Base.
Provide status reports to OP Account Management as requested.

About us:
At OP we help you harness the power of technology for maximum impact. A technology consulting and solutions company we offer advisory and managed services innovative platforms and staffing solutions across a wide range of fields including AI cybersecurity enterprise architecture and beyond. For nearly two decades weve been challenging the status quo of the consulting industry serving up fresh ingenious thinking through a radically lean structure. Together this strategy delivers unprecedented performance at an unparalleled pace for faster results that propel your business forward.

Responsibilities:

Partner with teams within Product Operations the broader organization Data Science Data Engineering Product and Engineering teams to solve problems and identify trends and opportunities.
Build/maintain data infrastructure (reporting layer data pipelines reports dashboards alerts) to monitor the performance of our operations and drive business understanding.
Optimize pipelines dashboards frameworks and systems to facilitate easier development of data artifacts.
Assist in owning existing processes running in production optimizing complex code through advanced algorithmic concepts.
Design build and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.
Independently analyze data conduct research and synthesize feedback into plans processes and playbooks.
Proactively propose creative technical and quantitative solutions to problems and drive these through to implementation through the identification of data & tooling requirements enabling self-service / scalable solutions.
Communicate results of analyses to non-technical stakeholders who are the users of systems involving metrics pipelines and dashboards.
Define metrics/KPIs for end-to-end product operations and build repeatable and reproducible analysis.
Utilize AI tools to help automate routine analyses and scale solutions.

Minimum Qualifications:

Bachelors Degree in a technical or research-oriented field such as engineering data science social science or related fields or equivalent practical experience.
Experience in strategy operations consulting statistics data analysis or data science or directly related fields.
Experience with ETL pipeline development.
Proficiency with intermediate to advanced SQL concepts for data extraction.
Experience in managing multiple projects and meeting deadlines in a fast-paced environment.
Experience creating dashboards with Tableau Power BI Alteryx and other data visualization tools.
Experience with statistical analysis including hypothesis testing regression and experimental design.
Experience with communicating and presenting findings to non-technical stakeholders.

Preferred Qualifications:

Advanced technical degree or graduate degree in statistics marketing or related fields.
Experience using AI for data analysis and summarization.
Experience in measuring the performance of AI models.
Experience working across time zones and with diverse audiences including within operations teams and across with key stakeholders and senior leadership.

Benefits:

401(k).
Dental Insurance.
Health insurance.
Vision insurance.
We are an equal-opportunity employer and value diversity equality inclusion and respect for people.
The salary will be determined based on several factors including but not limited to location relevant education qualifications experience technical skills and business needs.

Additional Responsibilities:

Participate in OP monthly team meetings and participate in team-building efforts.
Contribute to OP technical discussions peer reviews etc.
Contribute content and collaborate via the OP-Wiki/Knowledge Base.
Provide status reports to OP Account Management as requested.